Key Frame Extraction Code Implementation

This graduation project focuses on key frame extraction implemented through MATLAB programming. The code incorporates improvements inspired by optical flow methodologies. The extraction algorithm employs multiple frame difference metrics including Euclidean distance, mean value analysis, variance computation, and coefficient of variation assessment. Through systematic debugging and optimization, the program executes successfully with excellent performance outcomes. I am pleased to share this technical achievement with the developer community. The core implementation involves calculating inter-frame differences using matrix operations, where each frame is converted to grayscale and processed through differential filters. Key functions include: - Frame preprocessing and normalization - Euclidean distance computation between consecutive frames - Statistical analysis (mean/variance) of pixel intensity changes - Adaptive thresholding based on variation coefficients - Peak detection algorithm for key frame identification